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) participation in R & D projects, services, and technology transfer; (iii) participation in activities of science management and dissemination of knowledge, including the organization of conferences, symposia and
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awareness (SA), like our work on Situational Graphs (S-Graphs), improve on existing techniques by combining 3D environmental maps with detailed knowledge about objects into a single, optimized model. First
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supervise project staff of 3-5 We are looking for: Bachelor's Degree (or equivalent knowledge) in Energy & Resources, Public Policy, Economics, Business Administration, City & Regional Planning, Environmental
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Skills/Qualifications Must have, at the start of their PhD programme, a Master (or equivalent) degree in Mechanical Engineering, Physics or Photonics with solid knowledge of optics and its applications
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM
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Sciences or a closely related field, or a similar degree with an academic level equivalent to a two-year master's degree. Furthermore, the ideal candidate has: Completed a relevant master’s program Knowledge
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Sciences or a closely related field, or a similar degree with an academic level equivalent to a two-year master's degree. Furthermore, the ideal candidate has: Completed a relevant master’s program Knowledge
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, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better
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, fundamental or applied science, developed in the last five years, considered of higher impact by the candidate; c) of knowledge extension and dissemination activities developed in the last five years, namely
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packages and tools (e.g., Numpy, Pytorch, Tensorflow, ART). You have knowledge or familiarity with reverse engineering tools (e.g. NSA Ghidra, IDA Pro) You have experience with Python, C/C++, or low-level